Lecture Notes in Computer Science, 2007, Volume 4633/2007, 526-537, DOI: 10.1007/978-3-540-74260-9_47

A Sequential Monte-Carlo and DSmT Based Approach for Conflict Handling in Case of Multiple Targets Tracking

Yi Sun and Layachi Bentabet

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Abstract

In this paper, we propose an efficient and robust multiple targets tracking method based on particle filtering and Dezert-Smarandache theory. A model of cue combination is designed with plausible and paradoxical reasoning. The proposed model can resolve the conflict and paradoxes that arise between measured cues due to the particle or total occlusion. Experimental results demonstrate the efficiency and accuracy of the model in case of tracking with multiple cues.

Keywords  Multiple Targets Tracking - Sequential Monte-Carlo - Dezert-Smarandache Theory - Cue Combination

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